WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Award-winning presentation recognizes AI-CVD-HF heart failure prediction model leveraging coronary artery calcium (CAC) scans HONG KONG, January 27, 2026 /EINPresswire.com/ — HeartLung AI announced ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that ...
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
Abstract: Integrated sensing and communication (ISAC) can enhance spectral efficiency and facilitate the diverse emerging applications via sharing the same spectrum and hardware between communication ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results